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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM Jurnal IPTEK INFORMAL: Informatics Journal JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Terapan Antivirus : Jurnal Ilmiah Teknik Informatika Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Aghniya Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Minfo Polgan (JMP) JAPI: Jurnal Akses Pengabdian Indonesia Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan Jurnal Informatika Polinema (JIP)
Pramana Yoga Saputra
Politeknik Negeri Malang
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IMPLEMENTASI TEKNIK CRAWLING UNTUK PENGUMPULAN DATA DARI MEDIA SOSIAL TWITTER Saputra, Pramana Yoga
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 8 N0 2 TAHUN 2017
Publisher : DINAMIKA DOTCOM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social media is an online communication network with millions of users. Users can interact with the other users, and share the information through the social media. The number of users and the high frequency of data traffic and data exchange, making social media into a data warehouse. Users can obtain valuable information from this data warehouse through the data collecting process, analysis and decision making. One of the techniques that used for collecting data is crawling. Crawling is the utilization of internet bot program to browse the addresses on the World Wide Web, to do indexing and to store important data in accordance with the purpose of the bot is made. In this research, we implementing crawling on Twitter. the reason why using Twitter, because Twitter is one of the biggest social media. There are approximately 700 million tweets per day, with an average of 7500 tweets per second from users around the world. Because of the amount of data stored in Twitter, the researcher chose Twitter, to implement crawling techniques in this study.Key word: crawling, social media, twitter
Hasil Pengujian Aplikasi Permainan Pada Anak Usia 7-11 Tahun Untuk Meningkatkan Konsentrasi Dimas Wahyu Wibowo; Pramana Yoga Saputra; Eka Larasati Amalia
SMARTICS Journal Vol 7 No 1: SMARTICS Journal (April 2021)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v7i1.4782

Abstract

Research on the results of testing game applications in children aged 7-11 years aims to determine how to improve concentration skills. By using a children's concentration-enhancing game application, data will be collected using the results of the points obtained from each child who plays the game. These points are used as statistical calculations. These statistics are used to determine the comparison of the level of concentration in each game that has been carried out as an independent evaluation for children
Improvisasi Teknik Oversampling MWMOTE Untuk Penanganan Data Tidak Seimbang Saputra, Pramana Yoga; Abdullah, Moch Zawaruddin; Kirana, Annisa Puspa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2811

Abstract

Imbalance data is a condition which there is a distinction in the quantity of data that results withinside the majority class (classes with very many members) and minority class (classes with very few members). It can complicate the classification process since the machine learning algorithm method is designed to classify already balanced data. The oversampling process technique is used to resolve data imbalance by applying synthetic data to the minority class in such a manner that it has the same volume of data as the majority class. MWMOTE is an oversampling technique that generates synthetic data based on members of the minority class clusters that are close to the majority class. This approach is capable of generating synthetic data well. The resulting synthesis data remains in the nearby majority region and too dense on the border of the cluster. It is hence permitting the resulting synthetic data to go into the majority class classification. This study is objectives to improve the process of generating synthetic data on MWMOTE so that the resulting data is extensively dispensed withinside the minority class. The outcomes of the test show that the proposed method is capable of enhancing the classification performance for KNN and C4.5 Decision Tree classification sequentially by 0.46% and 0.96% compared to MWMOTE
Information System for Predicting Warehouse Stock and Utilities (Case Study: PT KERAMIK XYZ) Pramitarini, Yushintia; Saputra, Pramana Yoga; Putri, Alindya Kirana
Jurnal IPTEK Vol 25, No 1 (2021)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2021.v25i1.1192

Abstract

PT KERAMIK XYZ is one of the companies engaged in the production of ceramics. The company sometimes subjected to declining wall tiles on the market and at warehouses where wall ceramic stocks are sometimes subjected to buildup. Therefore, the research of "Information System Prediction Stock and Warehouse Utility" uses the Fuzzy Time Series Markov Chain method and Fuzzy Mamdani Method. So that the problem of ceramic wall stock and the layout of the placement of ceramic wall stock in the warehouse does not occur again and can be resolved. In the Fuzzy Time Series Markov Chain method, the calculation of prediction results of ceramic stocks of the Base Tile dCaliza Valle type results in forecasting values of (0, 717, 483, 483), then by means of the MAPE (Mean Absolute Percent Error) test method produces an error percentage of 13%. The results of the calculation of the level of accuracy are good and can be used in this case study. So, the results of the calculation of the level of accuracy are good and can be used in this case study. Then for the results of the prediction of the layout of the ceramic stock placement in the warehouse using the Fuzzy Mamdani method get an accurate calculation of 22%.
Information System for Predicting Warehouse Stock and Utilities (Case Study: PT KERAMIK XYZ) Yushintia Pramitarini; Pramana Yoga Saputra; Alindya Kirana Putri
Jurnal IPTEK Vol 25, No 1 (2021)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2021.v25i1.1192

Abstract

PT KERAMIK XYZ is one of the companies engaged in the production of ceramics. The company sometimes subjected to declining wall tiles on the market and at warehouses where wall ceramic stocks are sometimes subjected to buildup. Therefore, the research of "Information System Prediction Stock and Warehouse Utility" uses the Fuzzy Time Series Markov Chain method and Fuzzy Mamdani Method. So that the problem of ceramic wall stock and the layout of the placement of ceramic wall stock in the warehouse does not occur again and can be resolved. In the Fuzzy Time Series Markov Chain method, the calculation of prediction results of ceramic stocks of the Base Tile dCaliza Valle type results in forecasting values of (0, 717, 483, 483), then by means of the MAPE (Mean Absolute Percent Error) test method produces an error percentage of 13%. The results of the calculation of the level of accuracy are good and can be used in this case study. So, the results of the calculation of the level of accuracy are good and can be used in this case study. Then for the results of the prediction of the layout of the ceramic stock placement in the warehouse using the Fuzzy Mamdani method get an accurate calculation of 22%.
SISTEM PERAMALAN PENJUALAN SEPEDA MOTOR YAMAHA DI SENTRAL YAMAHA MALANG DENGAN METODE LEAST SQUARE Pramana Yoga Saputra; Indra Dharma Wijaya; Sirajuddin Muhammad Anshori
JURNAL AGHNIYA Vol 3, No 2 (2020)
Publisher : STIESNU Bengkulu

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Abstract

Abstract The aim of this study is to create forecasting system on motorcycle sales in central yamaha Malang, East Java to find out sales for the next year. The research was carried out with forecasting and SDLC (System Development Life Cycle) system with waterfall model. The data used for dorecasting sales is from January 2016 to December 2018. Lthe first step taken with observed in central yamaha Malang, after that the researchers design the system that will be made for forecasting by designing the appearance of the application, creating usecase diagram, dfd diagram and designing the database. The data hase been collected is processed in excel using the Least Squere Method, then after that it is implemented into the application. Forecasting using Least Squere method, the error value is obtained using an average MSE of 8,3 %, so this data can be used because the error value obtained is below 10 % in accordance with the MSE standard value. The result of the application experiment on 80, 56 % users stated that the application was good to use. Keyword: Forecasting, Least Square, ESP, MSE Abstrak Tujuan dari penelitian ini adalah membuat sistem peramalan pada penjualan motor yang berada di Sentral Yamaha Malang untuk mengetahui penjualan pada tahun berikutnya. Penelitian dilakukan dengan peramalan dan dengan menggunakan sistem SDLC (System Development Life Cycle) dengan model waterfall. Data yang digunakan untuk peramalan penjualan motor dari Januari 2016 sampai dengan Desember 2018. Langkah pertama yang dilakukan dengan melakukan observasi pada Sentral Yamaha Malang, setelah itu merancang sistem yang akan dibuat untuk peramalan dengan mendesain tampilan aplikasi, membuat usecase diagram, dfd diagram dan mendesain basisdata. Data yang telah terkumpul diolah dalam excel dengan menggunakan metode Least Square. Setelah itu diimplementasikan dalam aplikasi. Peramalan dengan metode Least Square didapatkan nilai error dengan menggunakan MSE rata-rata sebesar 8.3%, sehingga metode ini dapat digunakan dikarenakan nilai error yang didapatkan dibawah 10% sesuai dengan nilai standar MSE. Hasil percobaan aplikasi pada pengguna 80,56% menyatakan bahwa aplikasi baik digunakan. Kata Kunci: Peramalan, Least Square, ESP, MSE
Penerapan Library AR.JS untuk Pembuatan Augmented Reality Sebagai Media Pembelajaran Pengenalan Hewan Dimas Wahyu Wibowo; Pramana Yoga Saputra; Eka Larasati Amalia; Farida Ulfa
SMARTICS Journal Vol 4 No 2: SMARTICS Journal (Oktober 2018)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.079 KB) | DOI: 10.21067/smartics.v4i2.3185

Abstract

Augemented Reality (AR) merupakan teknologi yang menggabungkan bedan maya 3D ke dalam dunia nyata dan dalam waktu nyata. Penelitian ini menggunakan teknologi AR ke dalam bentuk media pembelajaran pengenalan hewan unutk anak-anak. Aplikasi ini dirancang untuk memudahkan anak-anak dalam mengenal nama dan jenis hewan. AR dapat menyajkan pembelajaran yang interaktif, karena anak-anak tidak hanya belajar secara teori namun mereka juga dapat melihat objek hewan secara 3D. Aplikasi ini dibuat menggunakan AFrame Dari hasil pengujian yang telah dilakukan, dapat disimpulkan bahwa aplikasi yang dibangun mampu menampilkan semua visualisasi objek 3D sehingga dapat digunakan untuk media pembelajaran
SISTEM PENDUKUNG KEPUTUSAN DENGAN MENERAPKAN METODE ELECTRE DALAM MENENTUKAN PRIORITAS CALON DEBITUR Cahya Rahmad; Dimas Wahyu Wibowo; Pramana Yoga Saputra
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 11 No 2 (2017): November 2017
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1686.059 KB) | DOI: 10.35457/antivirus.v11i2.269

Abstract

Pinjaman dana tunai adalah fasilitas yang disediakan oleh PT. NSC Finance untuk konsumen melakukan pinjaman dengan jaminan BPKB Motor. Proses pengolahan pinjaman dana tunai di proses bagian marketing, survei, dan administrasi. Data yang dikelola adalah berkas pengajuan, surat perjanjian pinjaman dana tunai, motor diasuransikan, hasil survei, jumlah pinjaman, angsuran pinjaman dan pembayaran angsuran. Laporan yang diproses dalam pinjaman dana tunai adalah laporan berkas pengajuan, laporan angsuran konsumen, isi perjanjian pembayaran dan laporan motor yang digunakan. Proses input data dilakukan oleh admin atau Credit Marketing Suvervisor (CMS). Jika salah satu syarat tidak terpenuhi maka secara otomatis sistem akan menolak pengajuan pinjaman dana, sehingga dapat mengganggu pemasukan perusahaan. Oleh sebab itu, diperlukan sistem pendukung keputusan yang dapat membantu perusahaan dalam mengambil keputusan. Dengan menggunakan Sistem Pendukung Keputusan menggunakan ELECTRE diharapkan dapat mempermudahkan perusahaan dalam menentukan prioritas pinjaman dana kepada nasabah.
Implementasi Text Mining Pada Website/Blog Di Internet Untuk Menilai Kinerja Suatu Organisasi Faisal Rahutomo; Zanuar Hanif Rachmat Adi; Imam Fahrur Rozi; Pramana Yoga Saputra
Jurnal Inovtek Polbeng Seri Informatika Vol 3, No 2 (2018)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.636 KB) | DOI: 10.35314/isi.v3i2.462

Abstract

Melihat pola kehidupan manusia saat ini menunjukkan bahwa aktivitas sehari-hari tidak dapat dipisahkan dari internet. Gaya hidup ini secara tidak langsung memengaruhi cara seseorang berkomunikasi. Di internet, banyak sekali pendapat, kritik atau saran digunakan untuk menilai kinerja organisasi. Organisasi yang disebutkan adalah organisasi perbankan yang dimiliki pemerintah yang memberikan layanan kepada publik. Penelitian ini mengembangkan sistem yang dapat memberikan penilaian terhadap kinerja organisasi mengggunakan pendapat masyarakat pada perbankan pemerintah. Algoritma yang digunakan dalam penelitian ini adalah Rating System Based On Adjective. Jumlah pengambilan data adalah 10, 30 dan 50 pada pencarian data pertama. Pencarian data diperoleh dengan crawling data online memanfaatkan API Google di situs web atau blog di internet. Proses pengujian algoritme menggunakan "ulasan kinerja pada bank yang dicari" dalam 10 pencarian pertama adalah 98,59% dengan kesalahan persentase 45,2. Proses pengujian algoritma dalam 30 pencarian pertama adalah 99,84% dengan kesalahan persentase 40,04. Proses pengujian algoritma dalam 50 pencarian pertama adalah 98,21% dengan kesalahan persentase 30,73.
Identification of optimum segment in single channel EEG biometric system Muhammad Afif Hendrawan; Pramana Yoga Saputra; Cahya Rahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1847-1854

Abstract

Nowadays, biometric modalities have gained popularity in security systems. Nevertheless, the conventional commercial-grade biometric system addresses some issues. The biggest problem is that they can be imposed by artificial biometrics. The electroencephalogram (EEG) is a possible solution. It is nearly impossible to replicate because it is dependent on human mental activity. Several studies have already demonstrated a high level of accuracy. However, it requires a large number of sensors and time to collect the signal. This study proposed a biometric system using single-channel EEG recorded during resting eyes open (EO) conditions. A total of 45 EEG signals from 9 subjects were collected. The EEG signal was segmented into 5 second lengths. The alpha band was used in this study. Discrete wavelet transform (DWT) with Daubechies type 4 (db4) was employed to extract the alpha band. Power spectral density (PSD) was extracted from each segment as the main feature. Linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the EEG signal. The proposed method achieved 86% accuracy using LDA only from the third segment. Therefore, this study showed that it is possible to utilize single-channel EEG during a resting EO state in a biometric system.
Co-Authors Abdullah, Zaed Al Huda, Muhammad Iqbaluddin Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom Alindya Kirana Putri Annisa Puspa Kirana Ariadi Retno Ririd Arwin Datumaya Sumari Astiningrum, Mungki Asyam Alfitra, Farhan Atiqah Nurul Asri Budi Harijanto, Budi Carfin Febriawan Pratama Putra Dian Febrianti, Siti Zumaroh Dian Hanifudin Subhi Dika Rizky Yunianto Dimas Wahyu Wibowo Dwi Puspitasari DWI PUSPITASARI Dwi Puspitasari Eka Larasati Amalia Fahmi Zain Afif Winatama Faisal Rahutomo Farida Ulfa Fidyawan, Miftahul Agtamas Hendrawan, Muhammad Afif Hendrawan, Muhammad Afif Hersianty, Venny Meida Hudriyah Mundzir, Hudriyah Ilham Agung Prakoso Imam Fahrur Rozi Indra Dharma Wijaya Indra Dharma Wijaya Khairy, Muhammad Shulhan Kyaw, Htoo Htoo Sandy Larasati, Eka Maya Shoburu Rohmah Miftahul Agtamas Fidyawan Moch Zawaruddin Abdullah Muhammad Iqbal Kharis Firismanda Muhammad Shulhan Khairy Muladawila, Ali Ridho Noprianto Odhitya Desta Triswidrananta Pradana, Achmad Savero Windi Prakoso, Ilham Agung Pramitarini, Yushintia Putra, Carfin Febriawan Pratama Putri, Alindya Kirana Radian Malek Rayrendra Rahmad, Cahya Rahmadani, Alfiandi Aulia Ratsanjani, M. Hasyim Rawansyah Retno Damayanti Rohmah, Maya Shoburu Rokhimatul Wakhidah Setiadi , Chandrasena Shoumi, Milyun Ni’ma Siradjuddin, Indrazno Sirajuddin Muhammad Anshori Triana Fatmawati Triswidrananta, Odhitya Desta Ulla Delfana Rosiani Usman Nurhasan Wijanarko, Eko Setio Winatama, Fahmi Zain Afif Yan Watequlis Syaifudin Yuri Ariyanto Yushintia Pramitarini Zanuar Hanif Rachmat Adi